49% of organizations see eDiscovery for endpoint data as their highest governance priority in the next two years. A new approach for governing information is a necessity with the rise of mobility. Our friends over at Druva created the new infographic below depicting the problem with traditional data governance.
[Click on image to enlarge]
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In this contributed article, Jan Lunter, CEO & CTO of Innovatrics, highlights how synthetic data is an efficient technology to supplement datasets with types of data that are underrepresented. The advancements made in recent years in generative adversarial networks (GANs) allow us to leverage the benefits of generating synthetic data for a wide range of machine learning (ML) applications.
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The essential first step for manufacturers is to consider how much data the enterprise has at its disposal. Most manufacturers collect vast troves of process data but typically use it only for tracking purposes, not as a basis for improving operations. The challenge is for these players to invest in the systems and skillsets that will allow them to enhance their use of existing process statistics. This Guide, sponsored by Dell Technologies, will walk through some of the ways to expand the scope of analytics to further increase business value.
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